Nowadays, the search engine plays an important role in any search application. End users always expect accurate, efficient, and fast results from searches. The job of a search engine is to fulfill the search requirement in an easy and faster way. To achieve the expected level of search accuracy, Solr executes multiple processes sequentially behind the scenes: it examines the input string, normalizes the text, generates the token stream, builds indexes, and so on. The set of all of these processes is called text analysis. Let's explore text analysis in detail.
Text analysis is a Solr mechanism that takes place in two phases:
- During index time, optimize the input terms, feeding the information, generates the token stream and builds the indexes
- During query time, optimize the query terms, generates the token stream, matches with the term generated at index time, and provides results
Let’s dive deeper and understand:
- How exactly Solr works to build...
